Pepsico (PEP) Accumulated Expenses (2009 - 2010)
Pepsico's (PEP) quarterly Accumulated Expenses came in at $1.8 billion in Q4 2010, up 37.8% year-over-year from $1.3 billion in Q4 2009, and up 37.8% quarter-over-quarter from $1.3 billion in Q4 2009.
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Pepsico (PEP) Accumulated Expenses (2009 - 2010) Analysis & Trends
Pepsico (PEP) has reported Accumulated Expenses for 2 consecutive years, with $1.8 billion the latest figure, recorded in Q4 2010.
- On a quarterly basis, Accumulated Expenses rose 37.8% year-over-year to $1.8 billion in Q4 2010; TTM through Dec 2010 was $1.8 billion, a 37.8% increase from a year earlier, with the FY2010 full-year figure at $1.8 billion, up 37.8% from the prior year.
- Accumulated Expenses was $1.8 billion for Q4 2010 at Pepsico, up from $1.3 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $1.8 billion in Q4 2010 and troughed at $1.3 billion in Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn |
API Access
Pepsico Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PEP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();